Automatic retrieval of network traffic data for analysis of network-in-world action relations in MMOGs
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , |
Tipo de documento: | Livro |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/10216/69970 |
Resumo: | Massive multiplayer online games (MMOGs) are increasingly popular because they provide entertainment, numerous opportunities for socialization, and the ability for users to make money. Cornerstone to MMOGs is the underlying network traffic between MMOG clients and servers; understanding this traffic is important for application developers trying to optimize game performance and for ISPs trying to provide a better quality of service for their customers. This paper goes a step forward in helping to understand MMOG network traffic as it describes an automated approach to collect traffic samples and map them to specific in-world actions in the MMOG game Second LifeTM. We show the validity of our approach by collecting 10 samples from 8 different actions, characterizing these samples, and grouping samples by action using a k-means clustering algorithm. |
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Automatic retrieval of network traffic data for analysis of network-in-world action relations in MMOGsEngenharia electrotécnica, electrónica e informáticaElectrical engineering, Electronic engineering, Information engineeringMassive multiplayer online games (MMOGs) are increasingly popular because they provide entertainment, numerous opportunities for socialization, and the ability for users to make money. Cornerstone to MMOGs is the underlying network traffic between MMOG clients and servers; understanding this traffic is important for application developers trying to optimize game performance and for ISPs trying to provide a better quality of service for their customers. This paper goes a step forward in helping to understand MMOG network traffic as it describes an automated approach to collect traffic samples and map them to specific in-world actions in the MMOG game Second LifeTM. We show the validity of our approach by collecting 10 samples from 8 different actions, characterizing these samples, and grouping samples by action using a k-means clustering algorithm.20092009-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/69970engMário FerreiraJosé QueirósRicardo Morlainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T12:39:07Zoai:repositorio-aberto.up.pt:10216/69970Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:24:10.258758Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Automatic retrieval of network traffic data for analysis of network-in-world action relations in MMOGs |
title |
Automatic retrieval of network traffic data for analysis of network-in-world action relations in MMOGs |
spellingShingle |
Automatic retrieval of network traffic data for analysis of network-in-world action relations in MMOGs Mário Ferreira Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
title_short |
Automatic retrieval of network traffic data for analysis of network-in-world action relations in MMOGs |
title_full |
Automatic retrieval of network traffic data for analysis of network-in-world action relations in MMOGs |
title_fullStr |
Automatic retrieval of network traffic data for analysis of network-in-world action relations in MMOGs |
title_full_unstemmed |
Automatic retrieval of network traffic data for analysis of network-in-world action relations in MMOGs |
title_sort |
Automatic retrieval of network traffic data for analysis of network-in-world action relations in MMOGs |
author |
Mário Ferreira |
author_facet |
Mário Ferreira José Queirós Ricardo Morla |
author_role |
author |
author2 |
José Queirós Ricardo Morla |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Mário Ferreira José Queirós Ricardo Morla |
dc.subject.por.fl_str_mv |
Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
topic |
Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
description |
Massive multiplayer online games (MMOGs) are increasingly popular because they provide entertainment, numerous opportunities for socialization, and the ability for users to make money. Cornerstone to MMOGs is the underlying network traffic between MMOG clients and servers; understanding this traffic is important for application developers trying to optimize game performance and for ISPs trying to provide a better quality of service for their customers. This paper goes a step forward in helping to understand MMOG network traffic as it describes an automated approach to collect traffic samples and map them to specific in-world actions in the MMOG game Second LifeTM. We show the validity of our approach by collecting 10 samples from 8 different actions, characterizing these samples, and grouping samples by action using a k-means clustering algorithm. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009 2009-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/book |
format |
book |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10216/69970 |
url |
https://hdl.handle.net/10216/69970 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799135544517591040 |